专业授课与教学成果    

（暂无）

研究方向及研究团队    

主要从事信号与信息处理学科领域科研工作；

所在研究团队介绍：

1．脑功能信号分析、盲源分离、深度学习

科研成果    

1．主持国家自然科学基金青年项目1项，湖南省自然科学基金青年项目1项，湖南省教育厅一般项目1项。

1）基于耦合张量分解的高维多被试复数fMRI数据分析，国家自然科学基金青年项目，61402056，2020.1-2022.12，24.5万元，主持。

2）基于张量分解的高维多被试复数fMRI数据组分析方法研究，19C0031，湖南省教育厅科学研究一般项目，2019-2021，2万元，主持。

3）基于联合盲源分离的多被试复值fMRI数据分析，2020JJ5603，湖南省自然科学基金青年项目，2020.1-2022.12，5万元，主持。

2．国际期刊论文（全部SCI期刊）：

[1] Kuang LD, Lin QH, Gong XF, Cong F, Wang YP, Calhoun VD. “Shift-Invariant Canonical Polyadic Decomposition of Complex-Valued Multi-Subject fMRI Data with Phase Sparsity Constraint,” IEEE Transactions on Medical Imaging, vol. 39, no. 4, pp: 844 - 853 2020. (IF: 7.816)

[2] Kuang LD, Lin QH, Gong XF, Cong F, Sui J, Calhoun VD. “Model order effects on ICA of resting-state complex-valued fMRI data: Application to schizophrenia,” Journal of Neuroscience Methods, vol. 304, pp. 24−38, 2018. (IF: 2.785)

[3] Kuang LD, Lin QH, Gong XF, Cong F, Calhoun VD. “Adaptive independent vector analysis for multi-subject complex-valued fMRI data,” Journal of Neuroscience Methods, vol. 281, pp. 49−63, 2017. (IF: 2.785)

[4] Kuang LD Lin QH, Gong XF, Cong F, Sui J, Calhoun VD. “Multi-subject fMRI analysis via combined independent component analysis and shift-invariant canonical polyadic decomposition,” Journal of Neuroscience Methods, vol. 256, pp. 127–140, 2015. (IF: 2.785)

[5] Qiu Y, Lin QH, Kuang LD, Gong XF, Cong F, Wang YP, Calhoun VD. “Spatial source phase: A new feature for identifying spatial differences based on complex-valued resting-state fMRI data,” Human Brain Mapping, vol. 40, pp. 2662–2676, 2019. (IF: 4.927)

[6] Yu MC, Lin QH, Kuang LD, Gong XF, Cong F, Calhoun VD. “ICA of full complex-valued fMRI data using phase information of spatial maps,” Journal of Neuroscience Methods, vol. 249, pp. 75−91, 2015. (IF: 2.785)

[7] Cong F, Lin QH, Kuang LD, Gong XF, Astikanen P, Ristaniemi T. “Tensor decomposition of EEG signals: A brief review,” Journal of  Neuroscience Methods, vol. 248, pp. 59–69, 2015. (IF: 2.785)

3．

[1] Kuang LD, Lin QH, Gong XF, Cong F, Calhoun VD. “Post-ICA phase de-noising for resting-state complex-valued FMRI data,” in Proc. 42nd IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP2017),  New Orleans, USA, pp. 856–860, 2017. (信号处理领域顶级会议，CCF推荐会议B类，口头报告)

[2] Kuang LD, Lin QH, Gong XF, Chen YG, Cong F, Calhoun VD. “Model order  effects on independent vector analysis applied to complex-valued fMRI data,” in  Proc. 14th IEEE Int. Symposium on Biomedical Imaging (ISBI 2017), Melbourne, Australia, pp. 81–84, 2017. (生物医学图像处理领域顶级会议)

[3] Kuang LD Lin QH, Gong XF, Cong F, Calhoun VD. “An adaptive fixed-point IVA algorithm applied to multi-subject  complex-valued fMRI data,” in Proc. 41st IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP2016), Shanghai, China, pp. 714–718, 2016. (信号处理领域顶级会议，CCF推荐会议B类，口头报告)

[4] Kuang LD, Lin QH, Gong XF, J. Fan, Cong F, Calhoun VD. “Multi-subject fMRI data analysis: Shift-invariant tensor factorization vs. group independent component analysis,” in Proc. 1st IEEE China Summit and Int. Conf. Signal and Information Processing (ChinaSIP2013), Beijing, China, pp. 269–272, 2013. (IEEE会议，口头报告)

[5] Qiu Y, Lin QH, Kuang LD, Zhao WD, Gong XF, Cong F, Calhoun VD. “Classification of schizophrenia patients and healthy controls using ICA of complex-valued fmri data and convolutional neural networks,” in Proc. 16th International Symposium on Neural Networks (ISNN 2019), Moscow, Russia, 2019. (IEEE会议，口头报告)